>>>>> "Aurimas" == Aurimas Anskaitis <aanskis at yahoo.com> writes:
Aurimas> I have some problems with numpy-0.9.4 and matplotlib
Aurimas> 0.86.1. When I try to launch very simple script like
Aurimas> this: import pylab from scipy import * y = array([1, 2,
Aurimas> 3]) pylab.plot(y) pylab.show()
Aurimas> I get a long error message ending with line "ValueError:
Aurimas> arrays must have same number of dimensions". May somebody
Aurimas> explain me what's happening? Everything works just fine
Aurimas> using numpy 0.9.2.
You need to make sure that matplotlib knows about which array type you
are using by setting the "numerix" setting in you matplotlib rc file,
typically found in ~/.matplotlib/matplotlibrc but you can find the
definitive location by running your script with --verbose-helpful
which the rc file location as well as which array package you are
using. You will want to make sure your numerix setting is numpy.
FYI,
from pylab import *
together with
from scipy import *
is a recipe for confusion, since both packages import a lot of names
with a overlapping names.
Hope this helps,
JDH